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Employers interested in posting their job openings on the LEDA Virtual job fair (at no cost) can send job description, qualifications, and application method to LEDA's Director of Workforce Development by email.

In addition to posting your vacancies on LEDA's website, positions are also distributed to a network of workforce centers and educational institutions as appropriate.

Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our businessProvide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long-term trendsIdentify and quantify levers to help move key metricsRecommend which features to build and whyWork backwards from understanding and sizing problems to ideating solutionsGenerate recommendations and use statistical techniques and hypothesis testing to validate your findings. This includes:Performing analytical deep-dives to identify problems, opportunities and actions required;Collecting, processing, and cleaning data from disparate sources using SQL, Python, or other scripting and statistical tools; andManaging the design, execution, and analysis of experiments; driving rigor and testing culture through product and operations teamsReport against company initiatives by identifying key metrics and building executive-facing dashboards to track progressMonitor key performance metrics, understanding root causes of changesBuild data sets and reporting tables to empower operational and exploratory analysisPartner with engineering to implement, document, validate, and iterate on building solutions at scale

Qualifications:

Is high-energy and confident — you’ll do whatever it takes to win

Is an owner — driven, focused, and quick to take ownership of your work

Is humble — you’re willing to jump in and you’re open to feedback

Is Adaptable, resilient, and able to thrive in ambiguity — things change quickly in our fast-paced startup and you’ll need to be able to keep up!

Is Growth-minded — you’re eager to expand your skill set and excited to carve out your career path in a hyper-growth setting

Has a strong desire for impact — ready to take on a lot of responsibility and work collaboratively with your team

Have 2+ years of industry experience developing machine learning models with business impact — more experience preferred

Have a B.S., M.S., or PhD. in Statistics, Computer Science, Math, Physics, Economics, or other quantitative field

Possess Deep understanding of statistics / machine learning

Be able to demonstrate the ability to write well written code (experience with Python preferred)

Click below to find more information on visiting the local Business & Career Solutions Center at 706 E. Vermilion Street, Lafayette, LA where staff can assist you with resume preparation assistance, job search assistance, and referrals to training and employment opportunities.